Archivio Istituzionale della RicercaThis work propose a new Kalman filter-based method for integrity monitoring, following the solution separation approach of the Advanced Receiver Autonomous Integrity Monitoring (ARAIM) algorithm. This method evaluates the separation of state correction using different subsets of measurement to detect abnormalities as well as potential faulty satellites for exclusion. This approach differs from existing Kalman filter-based methods, which use innovation vector or residual vector for stochastic evaluation.
An ARAIM adaptation for Kalman Filter / Tran, TRUNG HIEU; Belforte, Gustavo. - STAMPA. - (2017), pp. 27-37. (Intervento presentato al convegno Workshop on Maritime Communication and Navigation (COMNAVI 2017) tenutosi a Hanoi, Vietnam nel 29 dicembre 2017).
An ARAIM adaptation for Kalman Filter
TRAN, TRUNG HIEU;Gustavo Belforte
2017
Abstract
This work propose a new Kalman filter-based method for integrity monitoring, following the solution separation approach of the Advanced Receiver Autonomous Integrity Monitoring (ARAIM) algorithm. This method evaluates the separation of state correction using different subsets of measurement to detect abnormalities as well as potential faulty satellites for exclusion. This approach differs from existing Kalman filter-based methods, which use innovation vector or residual vector for stochastic evaluation.
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https://hdl.handle.net/11583/2695825
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